Dissertation Defense

Aggregation of Thermostatically Controlled Loads for Fast Power System Services: From Theory to Practice

Ioannis Marios (Giannis) Granitsas
1005 EECS BuildingMap
Ioannis Marios (Giannis) Granitsas Defense Photo

PASSCODE: 512320


In electric power systems, mismatch between scheduled generation and demand leads to deviations from the nominal grid frequency, thereby posing risks to the reliability of the electric power system. The significant uncertainty introduced to the grid due to the intermittent nature of renewable energy resources, such as wind and solar, can exacerbate these frequency deviations. To mitigate that, additional flexible resources, such as load aggregations, are required to maintain the reliability of the system. Thermostatically Controlled Loads (TCLs) are excellent candidates for providing flexibility to the grid due to their thermal inertia and ubiquity across the distribution system. However, coordinating large amounts of such loads is a challenging task.

This dissertation addresses some of the main challenges associated with large-scale control of TCLs for providing fast power system services. These challenges are identified through real-world experiments and emanate from a variety of sources, including the nonlinear nature of the underlying devices as well as the technical limitations that currently exist in practical systems. To that end, this dissertation develops advanced modelling, estimation, and control approaches tailored to address these challenges. Individual and aggregate TCL models and controllers are developed and extended to facilitate large-scale coordination of TCLs.


CO-CHAIRS: Professors Johanna Mathieu & Ian Hiskens